The Role of Indian Knowledge System in Generative Artificial Intelligence: Bridging Ancient Wisdom and Modern Innovation
 
Dr. Nilesh Joshi
Computation For Indian Language Technology [CFILT]
IIT Bombay, Powai, Mumbai, India
Email: joshinilesh60@gmail.com, nileshjoshi@iitb.ac.in
 
Abstract: This comprehensive study investigates the profound synergies between India’s ancient knowledge systems (IKS) and contemporary generative artificial intelligence (AI). Through interdisciplinary analysis of historical texts, mathematical frameworks, linguistic structures, and ethical philosophies, we demonstrate how IKS principles offer transformative solutions for generative AI’s technical and ethical challenges. Sanskrit’s computational grammar, combinatorial mathematics from Kerala School scholars, and Nyāya epistemic frameworks provide unique approaches to natural language processing (NLP), algorithmic design, and value alignment. Current research initiatives, case studies, and policy frameworks reveal both opportunities and implementation barriers. This paper argues for the systematic integration of IKS through digitization, interdisciplinary collaboration, and culturally-grounded AI governance, positioning India as a pioneer in ethically conscious AI development.

Keywords: Indian Knowledge System, generative AI, Sanskrit NLP, AI ethics, computational linguistics, algorithmic bias, Dharma-based AI, decolonial AI

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